Shapley-based explainability on the data manifold. - Christopher Frye; Damien de Mijolla; Laurence Cowton; Megan Stanley; Ilya Feige (CoRR, 2020)

Human-interpretable model explainability on high-dimensional data. - Damien de Mijolla; Christopher Frye; Markus Kunesch; John Mansir; Ilya Feige (CoRR, 2020)

Shapley explainability on the data manifold. - Christopher Frye; Damien de Mijolla; Tom Begley; Laurence Cowton; Megan Stanley; Ilya Feige (ICLR, 2021)

Disentangled Representation Learning for Astronomical Chemical Tagging. - Damien de Mijolla; Melissa Ness; Serena Viti; Adam Wheeler (CoRR, 2021)

Measuring chemical likeness of stars with RSCA. - Damien de Mijolla; Melissa K. Ness (CoRR, 2021)

Language hooks: a modular framework for augmenting LLM reasoning that decouples tool usage from the model and its prompt. - Damien de Mijolla; Wen Yang; Philippa Duckett; Christopher Frye; Mark Worrall (CoRR, 2024)

Waste Not, Want Not; Recycled Gumbel Noise Improves Consistency in Natural Language Generation. - Damien de Mijolla; Hannan Saddiq; Kim Moore (NAACL (Long Papers), 2025)